Method and system for address result arbitration

• US 20060222204A1
• Filed: 05/22/2006
• Published: 10/05/2006
• Est. Priority Date: 05/15/2001
• Status: Abandoned Application

• Current Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Original Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Inventors: Rundle, Alfred T., Saaf, Lennart A.
• Application Number:
  US11/438,720
• Publication Number:
  US 20060222204A1
• Time in Patent Office: Days
• US Class Current: 382/101
• CPC Class Codes: B07C 7/005 Computer assisted manual sorting, e.g. for mail
• CPC Class Codes: G06F 18/2178 based on feedback of a supervisor
• CPC Class Codes: G06F 18/285 Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
• CPC Class Codes: G06N 5/027 Frames
• CPC Class Codes: G06V 20/62 Text, e.g. of license plates, overlay texts or captions on TV images
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/274 Syntactic or semantic context, e.g. balancing
• CPC Class Codes: G06V 30/424 Postal images, e.g. labels or addresses on parcels or postal envelopes
• CPC Class Codes: Y10S 209/90 Sorting flat-type mail

Abstract

A method to arbitrate between results obtained from observationally data derived by several procedures.

Claims

1. A method to arbitrate between results to be arbitrated in order to effectuate a desired result, each of said results to be arbitrated obtained by one of a plurality of procedures from observationally derived data, each of said results to be arbitrated having a representative characteristic, said representative characteristic herinafter referred to as a type, said method comprising the steps of:

a. ranking each of the procedures according to confidence on each of said procedures;

b. classifying each of the results to be arbitrated according to a level of accuracy at which each of said results to be arbitrated matches a datum from a database of a plurality of databases;

c. comparing each of the results to be arbitrated to each other;

d. obtaining at least one indicator for each result to be arbitrated, said at least one indicator indicating a degree of success of the step of comparing each of the results to be arbitrated to each other;

e. generating rules, said rules utilizing as inputs said results to be arbitrated and information derived from said results to be arbitrated;

f. selecting at least one of said rules;

g. applying said at least one of said rules to the results to be arbitrated and to the at least one indicator for each result to be arbitrated, said at least one rule being applied according to an algorithm;

h. selecting, from the application of said at least one of said rules, said desired result, said desired result being one of the results to be arbitrated;

said results to be arbitrated being of a same type of result.

2. The method of claim 1 further comprising the step of:

appending another indicator to each result to be arbitrated, said another indicator indicating an outcome of applying said at least one rule.

3. The method of claim 1 further comprising the steps of:

creating a data structure, said data structure comprising;

said results to be arbitrated;

said desired result;

one further other indicator indicating said ranking according to confidence for each of said results to be arbitrated;

said at least one indicator for each of the results.

4. The method of claim 1 further comprising the step of:

assigning to each of said results to be arbitrated yet another indicator of said ranking of confidence of the procedure that produced said result to be arbitrated

5. The method of claim 1 wherein said algorithm is implemented using techniques of artificial intelligence.

6. A computer program product comprising:

a computer usable medium having computer readable code embodied therein for arbitrating between results to be arbitrated in order to effectuate a desired result, each one of said results to be arbitrated obtained from observationally derived data by one procedure from a plurality of procedures, each of said results to be arbitrated having a representative characteristic, said representative characteristic herinafter referred to as a type, and each of said results being of a same type of result, said code causing a computer system to;

a. rank each of the procedures according to confidence on each of said procedures;

b. classify each of the results to be arbitrated according to a level of accuracy at which each of said results to be arbitrated matches a datum from a database of a plurality of databases;

c. compare each of the results to be arbitrated to each other;

d. obtain at least one indicator for each result to be arbitrated, said at least one indicator indicating a degree of success of the step of comparing each of the results to be arbitrated to each other;

e. generate rules, said rules utilizing as inputs said results to be arbitrated and information derived from said results to be arbitrated;

f. select at least one of said rules;

g. apply said at least one of said rules to the results to be arbitrated and to the at least one indicator for each result to be arbitrated, said at least one rule being applied according to an algorithm;

h. select from the application of said at least one of said rules, said desired result, said desired result being one of the results to be arbitrated;

said results to be arbitrated being of a same type of result.

7. The computer program product of claim 7 where the computer readable code further causes a computer system to:

append another indicator to each result to be arbitrated, said another indicator indicating an outcome of applying said at least one rule.

8. The computer program product of claim 7 where the computer readable code further causes a computer system to:

create a data structure, said data structure comprising;

said results to be arbitrated;

said desired result;

one other indicator indicating said ranking according to confidence for each of said results to be arbitrated;

said at least one indicator for each result to be arbitrated.

9. The computer program product of claim 7 wherein said observationally derived data comprises data derived from addressed pieces.

10. The computer program product of claim 7 wherein said algorithm is implemented using techniques of artificial intelligence.

11. A system including arbitration between results to be arbitrated in order to effectuate a desired result, the system comprising:

at least one processor;

at least one computer readable memory having instructions embodied therein for arbitrating between results to be arbitrated in order to effectuate a desired result, each one of said results to be arbitrated obtained from observationally derived data by one procedure from a plurality of procedures, each of said results to be arbitrated having a representative characteristic, said representative characteristic herinafter referred to as a type, and each of said results being of a same type of result, said instructions causing said at least one processor to;

a. rank each of the procedures according to confidence on each of said procedures;

b. classify each of the results to be arbitrated according to a level of accuracy at which each of said results to be arbitrated matches a datum from a database of a plurality of databases;

c. compare each of the results to be arbitrated to each other;

d. obtain at least one indicator for each result to be arbitrated, said at least one indicator indicating a degree of success of the step of comparing each of the results to be arbitrated to each other;

e. generate rules, said rules utilizing as inputs said results to be arbitrated and information derived from said results to be arbitrated;

f. select at least one of said rules;

g. apply said at least one of said rules to the results to be arbitrated and to the at least one indicator for each result to be arbitrated, said at least one rule being applied according to an algorithm;

h. select from the application of said at least one of said rules, said desired result, said desired result being one of the results to be arbitrated;

said results to be arbitrated being of a same type of result.

12. The system of claim 11 wherein the instructions embodied in the at least one computer readable memory further cause said at least one processor to:

append another indicator to each result to be arbitrated, said another indicator indicating an outcome of applying said at least one rule.

13. The system of claim 11 wherein the instructions embodied in the at least one computer readable memory further cause said at least one processor to:

create a data structure, said data structure comprising;

said results to be arbitrated;

said desired result obtained by applying said selected at least one rule;

one other indicator indicating said ranking according to confidence for each of said results to be arbitrated;

said at least one indicator for each of the results to be arbitrated.

14. The system of claim 11 wherein said algorithm is implemented using techniques of artificial intelligence.

15. The system of claim 11 wherein said observationally derived data comprises data derived from addressed pieces.